Growth characteristics modeling of Lactobacillus acidophilus using RSM and ANN

The culture conditions viz. additional carbon and nitrogen content, inoculum size, age, temperature and pH of Lactobacillus acidophilus were optimized using response surface methodology (RSM) and artificial neural network (ANN). Kinetic growth models were fitted to cultivations from a Box-Behnken De...

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Detalhes bibliográficos
Autor principal: Meena,Ganga Sahay (author)
Outros Autores: Kumar,Nitin (author), Majumdar,Gautam Chandra (author), Banerjee,Rintu (author), Meena,Pankaj Kumar (author), Yadav,Vijesh (author)
Formato: article
Idioma:eng
Publicado em: 2014
Assuntos:
Response surface methodology (RSM)
Artificial neural network (ANN)
Genetic algorithms (GA)
Box-behnken besign (BBD)
Texto completo:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000100003
País:Brasil
Oai:oai:scielo:S1516-89132014000100003

Texto Completo

http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132014000100003

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